Technical Product Manager (AI Stream & customer-facing or user-facing consumer products)

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Product Management
consumer
AI

Job Details

One of our direct client is looking for Technical Product Manager (AI Stream & customer-facing or user-facing consumer products) - Open for 100% Remote.

NOTE:

  1. The TPM should know how to manage customer-facing or user-facing products or consumer-style product (like training portals, e-learning systems, or SaaS tools, Conversational Experience).
  2. AI Experience is a plus because they are definitely building AI capabilities into the product (conversational AI, AI-powered learning) but not a must have.

Technical Product Manager to own the endtoend execution for an AI Content Intelligence platform. You will be working handson with architecture, data engineering, platform teams, and content operations to deliver measurable improvements in findability, accuracy, and content velocity.

What you get to do in this role:

  • Client & Define
    • Own the problem space across content ingestion, metadata, governance, analytics/quality scoring, author workflows, knowledge graph, agentic creation, and governancefocused internal search.
    • Partner with content, product and search leaders to define a unified content and metadata model.
    • Assist the product teams in moving from policy-by-people to policyenforcedbytechnology via AI tooling.
    • Define phasebyphase KPIs and north start outcomes.
  • Build & Deliver
    • Translate strategy into clear PRDs, user stories, acceptance criteria, and solution docs for capabilities including ingestion pipelines, metadata services, schema/ontology, knowledge graph services.
    • Define governance automation: content lifecycle, duplication detection, staleness checks, voice/tone/style validation, and policy enforcement via agents.
    • Stand up author and reviewer workflows integrated with authoring tools.
    • Ensure access control compliance.
  • Launch, measure & iterate
    • Ship increments across pre-defined phases.
    • Define and monitor product analytics and evaluation frameworks.
    • Communicate status, risks, and tradeoffs to VP+ stakeholders; keep the roadmap crisp and outcomesoriented.

Success looks like:

  • A single, trusted content corpus in production with enforced governance and auditable lineage.
  • Author velocity improved via agentic first drafts, governance, and AI SME review with nearzero hallucinations.
  • Quality index guiding content lifecycle decisions; measurable lifts in findability, content freshness, and CSAT across web properties.

Deliverables you'll own

  • PRDs, solution briefs, and architectural requirements for ingestion, metadata, evaluation, and agentic services
  • Phasebyphase roadmap with KPIs and experimentation plans.
  • Acceptance criteria for evaluation and accuracy of the system.
  • Partner integration plans.
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